ActionMeta Llama APIUpdated September 2026

How do I call Meta's hosted Llama API?

Short answer: You can meta llama chat completion in Meta Llama API by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Meta Llama API Meta Llama Chat Completion action to a workflow, map its 6 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Meta Llama Chat Completion in Meta Llama API — start free All 1 Meta Llama API actions

Meta Llama Chat Completion in Meta Llama API — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Which model to use
User Message message	string	Required	User message to send to the model
System Prompt system_prompt	string	Optional	Optional system instructions that shape the model's behavior
Temperature temperature	string	Optional	Sampling temperature (0–2). Higher = more random.
Max Tokens max_tokens	string	Optional	Maximum tokens to generate in the response
Top P top_p	string	Optional	Nucleus sampling threshold (0–1)

Sample request

{
  "model": "{{trigger.model}}",
  "message": "e.g. Summarize this article in 3 bullets",
  "system_prompt": "e.g. You are a helpful assistant.",
  "temperature": "0.7",
  "max_tokens": "1024"
}

Returns

{
  "id": "chatcmpl-abc123",
  "model": "Llama-4-Maverick-17B-128E-Instruct-FP8",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample response"
      },
      "finish_reason": "stop"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Meta Llama Chat Completion.

Any of these apps can fire this action as part of a workflow.

Gmail → Meta Llama API

1 Gmail triggers

Slack → Meta Llama API

13 Slack triggers

Google Sheets → Meta Llama API

2 Google Sheets triggers

HubSpot → Meta Llama API

18 HubSpot triggers

FAQ

Questions about Meta Llama Chat Completion.

What does the Meta Llama Chat Completion action do in Meta Llama API?

First-party Meta-hosted Llama inference using OpenAI-compatible message-array shape. For workflows that want Llama direct from Meta rather than via Together/DeepInfra/Fireworks reseller paths.

What inputs does Meta Llama Chat Completion require?

Required: Model, User Message. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Meta Llama API returns an error?

The run history shows the failed step with its input and the error message Meta Llama API returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does Meta Llama Chat Completion support batch operations?

Run Meta Llama Chat Completion inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Meta Llama API's rate limits.

Meta Llama Chat Completion in Meta Llama API — start free